Noometry

Model comparison

DeepSeek Coder 33B vs Gemini 2.0 Flash-Lite

Gemini 2.0 Flash-Lite has enough public results to be ranked (#189); DeepSeek Coder 33B does not yet, so treat this comparison as directional.

Last verified . 0 shared benchmarks.

DeepSeek Coder 33B DeepSeek

38.3

Unranked Sparse

Gemini 2.0 Flash-Lite Google

37.3

Rank #189 Confirmed

Summary

  • DeepSeek Coder 33B has downloadable open weights; the other is API-only.

Side by side

DeepSeek Coder 33BGemini 2.0 Flash-Lite
ProviderDeepSeekGoogle
Noometry Index38.337.3
Released2023-11-022025-02-05
WeightsOpenProprietary
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked932

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Category by category

Coding Too close to call

DeepSeek Coder 33B: 37.4 (#180), Gemini 2.0 Flash-Lite: 37.4 (#181)

BenchmarkDeepSeek Coder 33BGemini 2.0 Flash-Lite
BigCodeBench Instruct42%—
LiveBench Coding—47.1%
LMArena Coding—1322
BigCodeBench Complete51.1%—
HumanEval+75%—
MBPP+70.1%—

Reasoning Not comparable

DeepSeek Coder 33B: —, Gemini 2.0 Flash-Lite: 21.2 (#203)

BenchmarkDeepSeek Coder 33BGemini 2.0 Flash-Lite
LiveBench Reasoning—50.1%
LMArena Hard Prompts—1324
DTBench—52.5%
LiveBench Data Analysis—65.5%
Epoch Capabilities Index95.74—
ForecastBench—57.1
LiveBench—54.3%
WinoGrande62%—

Math Not comparable

DeepSeek Coder 33B: —, Gemini 2.0 Flash-Lite: 31.8 (#192)

BenchmarkDeepSeek Coder 33BGemini 2.0 Flash-Lite
Omni-MATH—37.4%
LiveBench Math—58.1%
LMArena Math—1309
GSM8K35.4%—

Knowledge Not comparable

DeepSeek Coder 33B: —, Gemini 2.0 Flash-Lite: 34.6 (#185)

BenchmarkDeepSeek Coder 33BGemini 2.0 Flash-Lite
MMLU-Pro—72%
GPQA (HELM)—50%
LMArena Expert—1305
ARC (AI2) Challenge42.2%—
MMLU39.4%—

Multimodal Not comparable

DeepSeek Coder 33B: —, Gemini 2.0 Flash-Lite: 30.6 (#103)

BenchmarkDeepSeek Coder 33BGemini 2.0 Flash-Lite
LMArena Vision—1100

Multilingual Not comparable

DeepSeek Coder 33B: —, Gemini 2.0 Flash-Lite: 46.2 (#156)

BenchmarkDeepSeek Coder 33BGemini 2.0 Flash-Lite
LMArena Non-English—1323
LMArena Chinese—1339
LMArena French—1346
LMArena German—1306
LMArena Japanese—1302
LMArena Korean—1325
LMArena Russian—1328
LMArena Spanish—1313

Instruction Following Not comparable

DeepSeek Coder 33B: —, Gemini 2.0 Flash-Lite: 70.6 (#158)

BenchmarkDeepSeek Coder 33BGemini 2.0 Flash-Lite
LiveBench Instruction Following—78.3%
IFEval—82.4%
LMArena Instruction Following—1305

Long Context Not comparable

DeepSeek Coder 33B: —, Gemini 2.0 Flash-Lite: 40.1 (#155)

BenchmarkDeepSeek Coder 33BGemini 2.0 Flash-Lite
LMArena Longer Query—1321

Writing & Preference Not comparable

DeepSeek Coder 33B: —, Gemini 2.0 Flash-Lite: 51.9 (#172)

BenchmarkDeepSeek Coder 33BGemini 2.0 Flash-Lite
LMArena Text—1330
LMArena Creative Writing—1319
WildBench—79%
LMArena Multi-Turn—1307
LiveBench Language—34.3%

Frequently asked questions

Is DeepSeek Coder 33B better than Gemini 2.0 Flash-Lite?

Gemini 2.0 Flash-Lite has enough public results to be ranked (#189); DeepSeek Coder 33B does not yet, so treat this comparison as directional.

Is DeepSeek Coder 33B or Gemini 2.0 Flash-Lite better for coding?

They score almost the same on coding (37.4 vs 37.4); test both on your own repository before choosing.

How many benchmarks do DeepSeek Coder 33B and Gemini 2.0 Flash-Lite share?

0 benchmarks have published results for both models. DeepSeek Coder 33B has 9 scored results on Noometry and Gemini 2.0 Flash-Lite has 32.

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